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Research Interest

  • Spatial and spatial-temporal point processes models with applications in biology and epidemiology
  • Classification and clustering of genetic data
  • Bayes methods and Markov Chain Monte Carlo methods
  • Simulation of stochastic processes and random fields



In SFB 876 "Providing Information by Resource-Constrained Data Analysis"


In SFB 823 "Statistical modelling of nonlinear dynamic processes"


Sponsored by German Research Foundation (DFG)

  • Messung und statistische Analyse von Clusterphänomenen bei Signalproteinen in der Plasmamembran
    (Prof. Dr. Katja Ickstadt, Peter Verveer: Max-Planck-Insitute for molecular Physiology)


Former Projects